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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
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pubmed:dateCreated |
1997-5-22
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pubmed:abstractText |
What is the neural representation of a speech code as it evolves in time? A neural model simulates data concerning segregation and integration of phonetic percepts. Hearing two phonetically related stops in a VC-CV pair (V = vowel; C = consonant) requires 150 ms more closure time than hearing two phonetically different stops in a VC1-C2V pair. Closure time also varies with long-term stimulus rate. The model simulates rate-dependent category boundaries that emerge from feedback interactions between a working memory for short-term storage of phonetic items and a list categorization network for grouping sequences of items. The conscious speech code is a resonant wave. It emerges after bottom-up signals from the working memory select list chunks which read out top-down expectations that amplify and focus attention on consistent working memory items. In VC1-C2V pairs, resonance is reset by mismatch of C2 with the C1 expectation. In VC-CV pairs, resonance prolongs a repeated C.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Apr
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pubmed:issn |
0096-1523
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
23
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
481-503
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading | |
pubmed:year |
1997
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pubmed:articleTitle |
Neural dynamics of variable-rate speech categorization.
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pubmed:affiliation |
Department of Cognitive and Neural Systems, Boston University, Massachusetts 02215, USA. steve@cns.bu.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't
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